How to extract keywords from Qualtrics NPS Survey Comments using generative AI
How to Extract Keywords from Qualtrics NPS Survey Comments using Generative AI
Qualtrics NPS surveys can provide valuable feedback on your customer satisfaction and loyalty. However, manually analyzing open-ended comments can be time-consuming and inefficient. In this post, we’ll show you how to use generative AI to automatically extract keywords from Qualtrics NPS survey comments, saving you time and helping you identify important insights.
What is Keyword Extraction?
Keyword extraction is a natural language processing (NLP) technique that involves identifying the most important or relevant words or phrases in a piece of text. You can use it to extract key information and themes from text to gain insights into customer feedback, product features, and marketing campaigns.
Keyword extraction can be performed manually, but it can also be automated using machine learning algorithms. These algorithms learn to recognize patterns and features in the text that are associated with important words or phrases, and can be trained on a labeled dataset of text.
You can use keyword extraction to analyze and summarize large amounts of text data to quickly identify the most important information and themes.
Example Use Cases
Use cases for extracting keywords from Qualtrics NPS survey comments include:
- Identifying common issues and trends in customer feedback
- Improving product features and user experience
- Identifying areas for marketing campaigns or messaging
- Personalizing customer interactions
- Identifying areas for training and improvement for customer support teams
Teams that might find these use cases helpful include: customer support, product, marketing, and operations.
Finding your input data and identifying preliminary keywords
You first need to identify the data that you want to work with. Here, we are looking at Qualtrics NPS survey comments. You can extract this data by exporting it in CSV format or using the Qualtrics API to programmatically access the data.
For more information on the Qualtrics API see here: https://api.qualtrics.com/docs/overview
Next, it can be helpful (but not necessary) to identify common keywords that you may want to extract from your NPS survey comments. Generative AI tools can be used to both identify and measure frequency of keywords but also to suggest additional keywords you may not have been aware to look for. For example - you might find that recurring customer feedback around a certain product feature may provide insights into areas of improvement or strengths to highlight.
Once you have your data and preliminary keywords identified, you can use generative AI to automatically extract keywords from your Qualtrics NPS survey comments. This will help you gain deeper insights into your customer feedback and make data-driven decisions to improve your products and services.
By using generative AI to extract keywords from Qualtrics NPS survey comments, you can save time and gain valuable insights into customer feedback. This technique can help you identify areas for improvement, highlight strengths, and personalize customer interactions. Try it out for yourself to see the benefits!